登录 注册

A Guided Size Exclusion Chromatography Demonstration for Teaching Polymer Separation and Characterization.

🔗 访问原文
🔗 Access Paper

📝 摘要
Abstract

Practical experience with modern analytical instruments is an essential component of undergraduate chemistry education, yet access to advanced instruments varies widely among institutions because of differences in available resources. Although size exclusion chromatography (SEC) is extensively used in polymer characterization in both academia and industry, undergraduate students at Montclair State University previously had limited opportunities to gain hands-on experience to this technique. To address this need, a demonstration using a multidetector-equipped Malvern Panalytical OMNISEC system was developed and incorporated into a second-year organic chemistry laboratory course during the 2025-2026 academic year. This activity engaged more than 300 undergraduate students representing chemistry, biochemistry, biology, psychology, marine science, and exercise science majors and was further extended to 8 undergraduate researchers and 6 K-12 participants through the Summer Polymer Research Program. Educational effectiveness was evaluated using worksheets, pre- and postdemonstration assessments, and anonymous students surveys. More than 95% of participants (n = 169) correctly answered the Fall 2025 postdemonstration worksheet questions, indicating a strong understanding of SEC concepts and instrument operation. In Summer 2026, students (n = 18) completed conceptually equivalent pre- and postdemonstration multiple-choice assessments. Mean scores increased from 7.72 ± 1.23 to 9.00 ± 1.03 (p < 0.001), demonstrating improved understanding following the demonstration. These findings show that a guided SEC demonstration provides an effective and adaptable approach for introducing advanced chromatographic instrumentation and polymer characterization to students from diverse scientific backgrounds.

📊 文章统计
Article Statistics

基础数据
Basic Stats

18 浏览
Views
0 下载
Downloads
7 引用
Citations

引用趋势
Citation Trend

阅读国家分布
Country Distribution

阅读机构分布
Institution Distribution

月度浏览趋势
Monthly Views

相关关键词
Related Keywords

影响因子分析
Impact Analysis

6.50 综合评分
Overall Score
引用影响力
Citation Impact
浏览热度
View Popularity
下载频次
Download Frequency

📄 相关文章
Related Articles

海洋智能分析Ocean AI Analysis

正在分析中,请稍候…Analyzing, please wait…
海洋智能体 🌊
海洋智能体
AI科研助手 · 4376篇文献
我看到你正在阅读一篇文献,需要我帮你解读摘要、推荐相关论文,或者分析研究方法论吗?